Sub-Saharan Africa

Awedoba, Albert K.; Kamski, Benedikt; Mehler, Andreas; Sebudubudu, David

doi:10.1163/9789004430013_002

Cited by 3 publications

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“…29 Resources directly related to the prevention of maternal and infant mortality are used as inputs. 49,50 Health expenditure and the number of nurses and midwives were selected as inputs. These results are consistent with those of previous studies.…”

Section: Datamentioning

confidence: 99%

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Efficiency and productivity analysis of maternal and infant healthcare services in Sub‐Saharan Africa

Ibrahim

2023

Health Planning & Management

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The paper examines the efficiency and productivity of Sub‐Saharan African (SSA) countries towards maternal and infant healthcare services between 2015 and 2019. Data envelopment analysis is utilised to evaluate efficiency, and Malmquist‐Luenberger's (ML) productivity estimation is employed for productivity analysis. The results indicate inefficiency in SSA maternal and infant healthcare services. Average efficiency is pegged at 85%, and 60% of the countries evaluated had below‐average efficiency. Effects of socioeconomic dynamics of countries were analysed. Preliminary estimations on the impact of Gross domestic product (GDP), education, urban population, and total population on efficiency are not significant. Although GDP and education sometimes show that they influence efficiency positively. Sensitivity analysis indicates efficiency to be more responsive to health expenditure, as well as to nurses and midwives. ML Productivity decomposition into technical efficiency change and technological change indicates improvement in technical efficiency as the principal driver of efficiency and productivity. Policy recommendations are made in line with the findings, requirements, and constraints of SSA countries.

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Section: Datamentioning

confidence: 99%

“…12 Data for the analysis were sourced from the World development indicator catalogue. 50 Studies have shown that a mixture of ratio values and absolute values is problematic in DEA. 49 Therefore, this study converts all ratio and index values into their absolute values for the analysis.…”

Section: Datamentioning

confidence: 99%

Efficiency and productivity analysis of maternal and infant healthcare services in Sub‐Saharan Africa

Ibrahim

2023

Health Planning & Management

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Cell Phone Availability and Usage for mHealth and Intervention Delivery to Persons Living With HIV in a Low-Resource Setting: Cross-sectional Study

Adong¹,

Fatch²,

Emenyonu³

et al. 2022

JMIR Form Res

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Background HIV/AIDS is now a manageable chronic illness owing to effective antiretroviral therapy (ART), which involves routine follow-up care, including regular physical visits to the clinic. In the recent past, and in wake of the COVID-19 pandemic, there has been increased need for virtual care and intervention delivery, a modality known as mobile health (mHealth), which includes cell phone–delivered services for medical and public health practice. Objective Here we describe cell phone use and its relationship with alcohol use in a cohort of persons living with HIV and latent tuberculosis (TB). Methods We performed a cross-sectional analysis of baseline data from a cohort of persons living with HIV and latent TB in HIV care in southwestern Uganda. We estimated proportions of cell phone and text message use and evaluated their associations with alcohol use—a common modifiable behavior among persons living with HIV. Cell phone use (primary outcome) was defined as owning a cell phone that is turned on at least half of the day. Any alcohol use was defined as any self-reported alcohol use in the prior 3 months or a phosphatidylethanol (an alcohol biomarker) level of ≥8 ng/mL. Results A total of 300 participants (median age 40 years; n=146, 48.7% male) were included in the analysis. Most (n=267, 89.0%) participants had access to a phone and of them, 26 (9.7%) shared the phone with someone else. In total, 262/300 (87.3%) of participants owned a cell phone that is turned on at least half of the time; the majority (n=269, 89.7%) rarely or never sent text messages, and over two-thirds (n=200, 66.9%) rarely or never received text messages. Most (n=214, 71.3%) had any alcohol use in the prior 3 months. In adjusted analyses, any alcohol use was not significantly associated with cell phone use (adjusted odds ratio [aOR] 0.48, 95% CI 0.18-1.25; P=.13) or sending (aOR 0.82, 95% CI 0.28-2.37; P=.71) or receiving (aOR 1.31, 95% CI 0.70-2.47; P=.40) text messages. Conclusions There is hope that mHealth interventions in this population can be carried out using cell phones owing to their popularity; however, the interventions may need to employ methods that do not rely on the sending and receiving of text messages only.

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Cell phone availability and usage for mobile health and intervention delivery to persons living with HIV in a low-resource setting. (Preprint)

Adong¹,

Fatch²,

Emenyonu³

et al. 2021

Preprint

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BACKGROUND HIV/AIDS is now a chronic illness due to effective antiretroviral therapy (ART) and involves routine follow-up care, including regular physical visits to the clinic. In the recent past, and in wake of the COVID-19 pandemic, there has been increased need for virtual care and intervention delivery, a modality known as mHealth, which includes cell phone-delivered services OBJECTIVE Here we describe cell phone use and its relationship with alcohol use in a cohort of persons with HIV (PWH) and latent tuberculosis (TB). METHODS We performed a cross-sectional analysis of baseline data from a cohort of PWH and latent TB in HIV care in south-western Uganda. We estimated proportions of cell phone and text message use and evaluated their associations with alcohol use, a common modifiable behaviour among PWH. Cell phone use (primary outcome) was defined as owning a cell phone that is turned on at least half of the day. Any alcohol use was defined as any self-reported alcohol use in the prior 3 months, and/or phosphatidylethanol (an alcohol biomarker) ≥8 ng/ml. RESULTS A total of 300 participants were included in the analysis, with a median age of 40 years; 48.7% were male. Majority (89.0%) of participants had access to a phone and of these 9.7% shared the phone with someone else. Eighty-seven percent owned a cell phone that is turned on at least half of the time; the majority (89.7%) rarely or never sent text messages, and over two-thirds (66.9%) rarely or never received text messages. 71.3% had any alcohol use. In adjusted analyses, any alcohol use was not significantly associated with cell phone use (adjusted OR [aOR]: 0.48, 95% confidence interval [CI]: 0.18-1.25, p-value=.13), or sending (aOR: 0.82, 95% CI: 0.28-2.37, p-value=.71) or receiving (aOR: 1.31, 95% CI: 0.70-2.47, p-value= .40) of text messages. CONCLUSIONS There is hope that mHealth interventions in this population can be carried out using cell phones due to their popularity; however, the interventions may need to employ methods that do not rely on the sending and receiving of text messages only. CLINICALTRIAL NCT 03302299

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Sub-Saharan Africa

Cited by 3 publications

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Efficiency and productivity analysis of maternal and infant healthcare services in Sub‐Saharan Africa

Efficiency and productivity analysis of maternal and infant healthcare services in Sub‐Saharan Africa

Cell Phone Availability and Usage for mHealth and Intervention Delivery to Persons Living With HIV in a Low-Resource Setting: Cross-sectional Study

Cell phone availability and usage for mobile health and intervention delivery to persons living with HIV in a low-resource setting. (Preprint)

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